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DBMS > 4D vs. EJDB vs. Microsoft SQL Server vs. OpenMLDB vs. Spark SQL

System Properties Comparison 4D vs. EJDB vs. Microsoft SQL Server vs. OpenMLDB vs. Spark SQL

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonEJDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOpenMLDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Microsofts flagship relational DBMSAn open-source machine learning database that provides a feature platform for training and inferenceSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSDocument storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.4d.comgithub.com/­Softmotions/­ejdbwww.microsoft.com/­en-us/­sql-serveropenmldb.aispark.apache.org/­sql
Technical documentationdeveloper.4d.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdlearn.microsoft.com/­en-US/­sql/­sql-serveropenmldb.ai/­docs/­zh/­mainspark.apache.org/­docs/­latest/­sql-programming-guide.html
Developer4D, IncSoftmotionsMicrosoft4 Paradigm Inc.Apache Software Foundation
Initial release19842012198920202014
Current releasev20, April 2023SQL Server 2022, November 20222024-2 February 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercial inforestricted free version is availableOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C++, Java, ScalaScala
Server operating systemsOS X
Windows
server-lessLinux
Windows
LinuxLinux
OS X
Windows
Data schemeyesschema-freeyesFixed schemayes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesyesnono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92noyesyesSQL-like DML and DDL statements
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
in-process shared libraryADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
SQLAlchemy
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++
Go
Java
Python
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanono
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenonetables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyes, but depending on the SQL-Server EditionSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlUsers and groupsnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
4D infoformer name: 4th DimensionEJDBMicrosoft SQL ServerOpenMLDBSpark SQL
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